SLEEP ALERT SYSTEM FOR DRIVERS

Registration ID: IJNRD_201067

Published ID: IJNRD2307080

DOI: http://doi.one/10.1729/Journal.35115

vedant sharma

machine learning, ANN, CNN, jupyterlab, Keras, haar cascade, classifier, Adam optimizer, RELU, Softmax, Pre-processing, OpenCV, inceptionV3, VGGNet, RESnet

The primary goal of this project was to create a system that can monitor the state of a person's eyes in real-time using computer vision and deep learning techniques. The main focus was on determining whether the eyes were open or closed, with practical applications in detecting driver drowsiness and monitoring fatigue levels to enhance safety and alertness. The project followed a systematic approach that commenced with gathering and preparing a dataset of eye images. To build the model, transfer learning was employed, utilizing the InceptionV3 model as the base and incorporating additional layers for classification. The model was trained using data augmentation techniques and optimized with the Adam optimizer and categorical cross-entropy loss function. For real-time monitoring, the system implemented face and eye detection algorithms to identify the specific area of interest containing the eyes in each frame. By tracking the duration of open or closed eyes, the system triggered an alarm if the eyes remained closed for an extended period, indicating potential drowsiness or fatigue. Although the monitoring system was successfully developed and implemented, future enhancements could involve incorporating more diverse datasets, refining the model architecture, and optimizing the detection algorithms. Overall, this project serves as a demonstration of the capabilities of computer vision and deep learning in eye state monitoring, opening up possibilities for further research and applications in safety and attention tracking domains.

Published Paper   E-Certificate

vedant sharma (July-2023). SLEEP ALERT SYSTEM FOR DRIVERS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), a638-a652. http://doi.one/10.1729/Journal.35115

Volume 8 Issue 7, July-2023

Pages : a638-a652

Paper Reg. ID: IJNRD_201067

Published Paper Id: IJNRD2307080

Downloads: 000121998

Research Area: Computer Science & Technology 

Country: vidisha , Madhaya Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2307080.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307080

Crossref DOI: http://doi.one/10.1729/Journal.35115

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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